| Presentation | 2015-03-13 Automatic Examination Sentence Generation System for Kanji Learning Based on Web Text Retrieval Jun TAKUMA, Jianwei ZHANG, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Generally people learn Kanji for The Japan Kanji Aptitude Test by using workbooks. However, there are two problems of the volume of question sentences and the cost of workbooks. To solve these problems, we developed a Kanji learning system for automatically generating examination sentences from web texts with web retrieval. After a user specifies the test grade and the number of questions, the system generates examination questions from sentences on the internet. After the user answers the questions automatically generated, the system gives marks and presents the learning results to the user. We conducted user studies on three methods: workbooks on public sale, workbooks on the web and our system. The experimental results show our system is remarkably useful for learning Kanji of Grade 1 at low cost. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Kanji learning system / Web text retrieval / Sentence extraction |
| Paper # | WIT2014-86 |
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| Conference Information | |
| Committee | WIT |
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| Conference Date | 2015/3/6(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Well-being Information Technology(WIT) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Automatic Examination Sentence Generation System for Kanji Learning Based on Web Text Retrieval |
| Sub Title (in English) | |
| Keyword(1) | Kanji learning system |
| Keyword(2) | Web text retrieval |
| Keyword(3) | Sentence extraction |
| 1st Author's Name | Jun TAKUMA |
| 1st Author's Affiliation | Tsukuba University of Technology() |
| 2nd Author's Name | Jianwei ZHANG |
| 2nd Author's Affiliation | Tsukuba University of Technology |
| Date | 2015-03-13 |
| Paper # | WIT2014-86 |
| Volume (vol) | vol.114 |
| Number (no) | 512 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |